Application of Mathematical Models in Economic Variable Input and Output Models under the Scientific Visualization
Kai Zheng1, Yisheng Liu2,3
1Research Institute for the Development of Private Economy, A New Type of Think Tank with Characteristics in Colleges and Universities in Fujian Province, Fujian, Quanzhou, China.
Computational Intelligence and Neuroscience
|March 3, 2022
Summary
Economic input-output models and scientific visualization techniques are crucial for analyzing economic data. This study explores their application in processing economic variables to support practical problem-solving and economic research.
Area of Science:
- Economics
- Data Science
- Economic Modeling
Background:
- Societal development has highlighted issues arising from an overemphasis on economic benefits by enterprises.
- This necessitates a shift towards analyzing economic input and output for sustainable development.
- Economic input-output technology and models have emerged as vital quantitative analysis tools.
Purpose of the Study:
- To elaborate on theoretical concepts including economic data, variables, and visualization techniques.
- To analyze the application of scientific visualization in processing economic variable data.
- To investigate the use of mathematical models in economic input-output analysis and broader economic research.
Main Methods:
- Review of theoretical knowledge on economic data, variables, and visualization.
- Analysis of scientific visualization techniques for data preprocessing, mapping, drawing, and display.
- Investigation of mathematical models for economic input-output analysis and economic research.
Main Results:
- Demonstration of how scientific visualization enhances the processing of economic variable data.
- Exploration of mathematical models' utility in understanding economic input and output.
- Identification of methods to improve economic analysis at macro, micro, and national levels.
Conclusions:
- Scientific visualization and mathematical models are essential for effective economic analysis.
- These tools provide robust support for solving practical economic problems.
- Enhanced understanding of economic variables aids in economic decision-making and policy development.
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